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19 篇文献
 
Combining machine learning and human judgment in author disambiguation  
Author disambiguation in digital libraries becomes increasingly difficult as the number of publications and consequently the number of ambiguous author names keep growing. The fully automatic author d......
International Conference on Information and Knowledge Management  2011
2次引用 0 1
Active associative sampling for author name disambiguation  
One of the hardest problems faced by current scholarly digital libraries is author name ambiguity. This problem occurs when, in a set of citation records, there are records of a same author under dist......
ACM/IEEE Joint Conference on Digital Libraries  2012
0次引用 0 0
AckSeer: a repository and search engine for automatically extracted acknowledgments from digital libraries  
Acknowledgments are widely used in scientific articles to express gratitude and credit collaborators. Despite suggestions that indexing acknowledgments automatically will give interesting insights, th......
ACM/IEEE Joint Conference on Digital Libraries  2012
2次引用 0 0
Effective self-training author name disambiguation in scholarly digital libraries  
Name ambiguity in the context of bibliographic citation records is a hard problem that affects the quality of services and content in digital libraries and similar systems. Supervised methods that exp......
ACM/IEEE Joint Conference on Digital Libraries  2010
6次引用 0 0
A semi-supervised approach for author disambiguation in KDD CUP 2013  
Name disambiguation, which aims to identify multiple names which correspond to one person and same names which refer to different persons, is one of the most important basic problems in many areas suc......
Knowledge Discovery and Data Mining  2013
0次引用 0 0
XXIV Simpósio Brasileiro de Banco de Dados Evaluating the use of social networks in author name disambiguation in digital libraries  
Abstract. Digital libraries have become an important source of information for scientific communities. However, by gathering data from different sources, the problem of duplicate and ambiguous informa......
0次引用 0 0
Taxonomy-based Query-dependent Schemes for Profile Similarity Measurement  
Semantic search techniques have increasingly gained attention in information retrieval literature. Authors are great sources of semantic interpretation for documents, especially in scholarly domains w......
0次引用 0 0
Citation-Based Bootstrapping for Large-Scale Author Disambiguation  
We present a new, two-stage, self-supervised algorithm for author disambiguation in large bibliographic databases. In the first “bootstrap ” stage, a collection of highprecision features is used to bo......
0次引用 0 0
CollabSeer: a search engine for collaboration discovery  
Collaborative research has been increasingly popular and important in academic circles. However, there is no open platform available for scholars or scientists to effectively discover potential collab......
ACM/IEEE Joint Conference on Digital Libraries  2011
12次引用 0 0
SIGMOD Record Associate Editors:  
0次引用 0 0

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